本文共 1313 字，大约阅读时间需要 4 分钟。

index 创建  2018/12/2

#1.pd.Indexi=pd.Index([1,2,3,4]) # (Int64Index([1, 2, 3, 4], dtype='int64')i=pd.Index(list('abcd')) # Index(['a','b','c','d'], dtype='object'))#2.pd.RangeIdex(start=None, stop=None, step=None)迭代器i=pd.RangeIndex(4) # RangeIndex(start=0, stop=4, step=1)[i1 for i1 in i] #[0, 1, 2, 3, 4]#3.pd.date_range(start=None, end=None, periods=None, freq=None)# freq：#Y年显示每年的最后一天；M显示每月的最后一天；D天；H小时；60S一分钟date=pd.date_range('2018-10-13',periods=3)# DatetimeIndex(['2018-10-14','2018-10-15','2018-10-16'],dtype='datetime64[ns]',freq='D')i_str=date.strftime('%Y-%m-%d %H:%M:%S')#将日期index变成字符串index# Index(['2018-10-14 00:00:00','2018-10-15 00:00:00','2018-10-16 00:00:00'],dtype='object')

#4.pd.DatetimeIndex(data=None, freq=None, start=None, end=None, periods=None, ...)  dt=pd.DatetimeIndex(['2018-10-14', '2018-10-15', '2018-10-16'])         # DatetimeIndex(['2018-10-14', '2018-10-15', '2018-10-16''], dtype='datetime64[ns]', freq=None)    s=pd.Series(data=np.arange(10,14),index=pd.date_range('2018-10-14',periods=4),dtype=np.float, name='Series-1')s.index  # DatetimeIndex(['2018-10-14', '2018-10-15', '2018-10-16'], dtype='datetime64[ns]', freq='D')s             # 2018-10-14    10.0             # 2018-10-15    11.0             # 2018-10-16    12.0             # Freq: D, Name: Series-1, dtype: float64

转载地址：https://chunyou.blog.csdn.net/article/details/84726354 如侵犯您的版权，请留言回复原文章的地址，我们会给您删除此文章，给您带来不便请您谅解！